Ochs Michael F, Casagrande John T
Division of Oncology Biostatistics, Johns Hopkins Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD 21205, USA.
Cancer Invest. 2008 Dec;26(10):1060-7. doi: 10.1080/07357900802272729.
The last decade has seen a massive growth in data for cancer research, with high-throughput technologies joining clinical trials as major drivers of informatics needs. These data provide opportunities for developing new cancer treatments, but also major challenges for informatics, and we summarize the systems needed and potential issues arising in addressing these challenges. Integrating these data into the research enterprise will require investments in (1) data capture and management, (2) data analysis, (3) data integration standards, (4) visualization tools, and (5) methods for integration with other enterprise systems.
在过去十年中，癌症研究数据大量增长，高通量技术与临床试验一道成为信息学需求的主要驱动因素。这些数据为开发新的癌症治疗方法提供了机会，但也给信息学带来了重大挑战，我们总结了解决这些挑战所需的系统以及可能出现的问题。将这些数据整合到研究企业中需要在以下方面进行投资：（1）数据捕获与管理；（2）数据分析；（3）数据集成标准;（4）可视化工具；（5）与其他企业系统集成的方法。
